Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …
especially due to the spread of electronic devices such as smartphones, smartwatches and …
Trends in human activity recognition using smartphones
Recognizing human activities and monitoring population behavior are fundamental needs of
our society. Population security, crowd surveillance, healthcare support and living …
our society. Population security, crowd surveillance, healthcare support and living …
Artificial intelligence and internet of things in screening and management of autism spectrum disorder
Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …
individuals find it extremely difficult to cope with the world's pace, can not communicate …
Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
A Sarkar, SKS Hossain, R Sarkar - Neural Computing and Applications, 2023 - Springer
Capturing time and frequency relationships of time series signals offers an inherent barrier
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
Wearable inertial sensors for daily activity analysis based on adam optimization and the maximum entropy Markov model
Advancements in wearable sensors technologies provide prominent effects in the daily life
activities of humans. These wearable sensors are gaining more awareness in healthcare for …
activities of humans. These wearable sensors are gaining more awareness in healthcare for …
An optimized deep learning model for human activity recognition using inertial measurement units
Human activity recognition (HAR) has recently gained popularity due to its applications in
healthcare, surveillance, human‐robot interaction, and various other fields. Deep learning …
healthcare, surveillance, human‐robot interaction, and various other fields. Deep learning …
A novel optimized parametric hyperbolic tangent swish activation function for 1D-CNN: application of sensor-based human activity recognition and anomaly detection
Human activity recognition (HAR) and abnormal/anomaly detection have significant
applications for health monitoring in a smart environment. Abnormal/anomaly prediction …
applications for health monitoring in a smart environment. Abnormal/anomaly prediction …
A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …
Process model discovery from sensor event data
Virtually all techniques, developed in the area of process mining, assume the input event
data to be discrete, and, at a relatively high level (ie, close to the business-level). However …
data to be discrete, and, at a relatively high level (ie, close to the business-level). However …
[HTML][HTML] Stochastic recognition of human daily activities via hybrid descriptors and random forest using wearable sensors
N Halim - Array, 2022 - Elsevier
Human daily activity recognition (HDAR) using wearable sensors is an important task for
researchers aiming to develop an effective and feasible model which is capable of …
researchers aiming to develop an effective and feasible model which is capable of …